The 2026 Guide to Lakehouses, Apache Iceberg and Agentic AI
Published by Self-published · Tech
A comprehensive guide covering the convergence of lakehouse architecture, Apache Iceberg, and the rise of agentic AI systems.
Who this book is for
Data engineers, data architects, data analysts, data scientists, analytics engineers, and AI/ML engineers who build, query, or put agentic systems on top of lakehouse data.
Table of contents
- A Primer on Data Today
- What is a Lakehouse?
- What is Apache Iceberg?
- What is Agentic AI?
- Apache Spark
- Apache Flink
- Dremio
- Trino
- The Python Ecosystem for Lakehouse and AI
- Streaming Platforms
- Ingestion Platforms
- Agentic Analytics
Excerpt
Data has become the operational core of every modern business. From the way a retail company decides which products to stock, to how a financial institution detects fraud in real time, to how a healthcare provider personalizes treatment plans, data sits at the center of every decision. This is not a new observation, but the infrastructure that supports these decisions has undergone a fundamental transformation over the past decade. The tooling is more powerful, the architectures are more open, and the roles of the people who build and use data systems have evolved to match.
